CN109688675A - Green housing Intelligent energy-saving system - Google Patents
Green housing Intelligent energy-saving system Download PDFInfo
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Abstract
The present invention provides a kind of green housing Intelligent energy-saving system, which includes: meteorological data acquisition unit, for obtaining meteorological data in real time；Multiple brightness test sections generate multiple luminance signals for real-time detection brightness；Multiple intelligent road-lamp components, for illuminating；And artificial intelligence automatically updates information processing centre, respectively with meteorological data acquisition unit, brightness test section and the connection of intelligent road-lamp assembly communication, artificial intelligence automatically updates information processing centre according to meteorological data, the control instruction algorithm generation brightness control instruction that luminance signal and initial control instruction pass through setting, and the brightness control instruction is sent to corresponding intelligent road-lamp component to control the brightness of illumination of the intelligent road-lamp component, and the continuous self-teaching of artificial intelligence is based on to Boiler pressure control instruction according to luminance signal after the instruction implementation predetermined time, self adjustment, self-renewing, so that lighting system is more intelligent, brightness control is more accurate, and energy conservation and environmental protection.
Description
Technical Field
The invention relates to the technical field of buildings, in particular to an intelligent energy-saving system for a green house.
Background
The proportion of energy consumption in building energy consumption in China is large, outdoor illumination also occupies a large proportion in building energy consumption, and illumination facilities in residential districts often have the phenomena of energy waste and poor distribution, so that a large amount of electric energy is wasted, and the sustainable and economic good development of residences is not facilitated.
The situation of energy shortage and environmental deterioration is not slow, the concept of green buildings is gradually emphasized by the nation, and the development of the green buildings in China enters the comprehensive development stage. Meanwhile, the artificial intelligence technology is rapidly developed, the artificial intelligence based on big data has extremely high intelligent characteristics and flexibility, and the energy structure and the utilization rate of the illumination system can be greatly optimized when the artificial intelligence is applied to the illumination system of the residential district.
How to apply artificial intelligence technology to the lighting system of residential community is an important research topic at present.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide an intelligent energy saving system for green houses, which can perform intelligent control of outdoor brightness for a plurality of residential areas including a plurality of residential buildings in a residential district, and is energy saving and environment friendly.
In order to solve the problems, the invention adopts the following technical scheme:
the invention provides an intelligent energy-saving system for green houses, which is used for carrying out outdoor brightness intelligent control on a plurality of residential areas containing a plurality of residential buildings in a residential district, and is characterized by comprising the following components: a meteorological data acquisition part for acquiring meteorological data including sunrise and sunset time, sky brightness and brightness of a residential community detected by a meteorological office in real time; a plurality of luminance detection units, which are provided in correspondence with each of the plurality of residential areas, and which detect luminance in the plurality of residential areas in real time to generate a plurality of luminance signals; the intelligent street lamp assemblies are respectively and correspondingly arranged in the residential areas and are used for respectively illuminating the residential areas; and an artificial intelligence automatic update information processing center which is respectively connected with the meteorological data acquisition part, the brightness detection part and the intelligent street lamp component in a communication way, the intelligent street lamp component comprises a weather data acquisition part, a plurality of brightness detection parts, an artificial intelligence automatic updating information processing center, a brightness control instruction generation part and a control instruction control part, wherein the weather data acquisition part sends weather data to the artificial intelligence automatic updating information processing center, the brightness detection parts respectively send brightness signals corresponding to all residential areas to the artificial intelligence automatic updating information processing center, the artificial intelligence automatic updating information processing center receives the weather data and the brightness signals and generates the brightness control instruction through a set control instruction algorithm according to the weather data, the brightness signals and the initial control instruction, and the brightness control instruction is further sent to the intelligent street lamp component in the corresponding residential area so as to control the illumination brightness of the intelligent street lamp component, and further intelligent brightness control based on the weather data of all the residential. The intelligent energy-saving system for the green house further has the following characteristics: the brightness detection part comprises an infrared brightness monitoring camera arranged on the ceiling of the area and a brightness sensor arranged on the ground of the area.
The intelligent energy-saving system for the green house further has the following characteristics: wherein, intelligence street lamp subassembly contains: the intelligent lamp comprises a base, a lamp post, an energy-saving LED lamp bank, an artificial intelligent chip and a brightness control command, wherein the base is embedded on the ground of a residential area, the lamp post is fixedly arranged on the base, the energy-saving LED lamp bank is fixedly arranged on the lamp post and used for lighting, and the artificial intelligent chip is fixedly arranged in the base and is in communication connection with an artificial intelligent automatic updating information processing center and used for receiving the brightness control command of the artificial intelligent automatic updating information processing center and controlling the lighting brightness of the energy-saving LED lamp bank according to the brightness control command.
The intelligent energy-saving system for the green house is also characterized by further comprising: power supply portion is connected through the cable and people's intelligence street lamp subassembly electricity for supply power to intelligence street lamp subassembly, wherein, power supply portion has: a plurality of first photovoltaic solar panel, set up respectively at the top of a plurality of residential buildings, be used for with solar energy transformation electric energy and thus to the power supply of intelligent street lamp subassembly, a plurality of second photovoltaic solar panel, set up respectively on a plurality of lamp poles, be used for with solar energy transformation electric energy and thus to the power supply of intelligent street lamp subassembly, a plurality of aerogenerator, set up respectively on the top of a plurality of lamp poles, be used for turning into the electric energy with wind energy and thus to the power supply of intelligent street lamp subassembly, the electric energy acquisition unit, be connected with municipal power grids and each intelligent street lamp subassembly electricity respectively through the cable.
The intelligent energy-saving system for the green house further has the following characteristics: the brightness detection part comprises an infrared brightness monitoring camera arranged on the lamp post and a brightness sensor arranged on the ground of the residential area.
The invention relates to a green house intelligenceAn energy saving system, further having the following features: the set control instruction algorithm is an error back propagation algorithm, and the algorithm comprises the following steps: step one, the meteorological data and the brightness signal of each residential area received by the information processing center are automatically updated by artificial intelligence to be used as an input value xi, and the input value x is setiCorresponding weight wiStep two, inputting the value xiAnd corresponding weight wiSubstituting the intermediate control command y into the following formula (1) to obtain an intermediate control command y,
step three, calculating the error e between the intermediate control command y and the initial control command P, which is shown in the following formula (2)
e＝y-p(2)
Step three, adjusting the weight w according to the error eiStep four, judging whether the error e is in a preset range, if not, entering the step two, if so, outputting the middle control instruction y as the brightness control instruction of the corresponding residential area,for the excitation function, n is the total number of input values.
The intelligent energy-saving system for the green house is also characterized by further comprising: a dedicated database, wherein, once the artificial intelligence automatic update information processing center generates a brightness control command, the artificial intelligence automatic update information processing center sends the brightness control command as a historical brightness control command, a brightness signal when the historical brightness control command is sent as an initial brightness signal and a brightness signal after the historical brightness control command is sent for a preset time as a command implementation brightness signal to the dedicated database, the dedicated database receives the historical brightness control command, the initial brightness signal and the command implementation brightness signal and correspondingly stores the historical brightness control command, the initial brightness signal and the command implementation brightness signal, once the artificial intelligence automatic update information processing center receives the brightness signal of each residential area, the artificial intelligence automatic update information processing center takes the historical brightness control command corresponding to the brightness signal in the dedicated database as a new initial control command, therefore, the self-learning, self-adjustment and self-updating of the artificial intelligence automatic updating information processing center are realized.
The intelligent energy-saving system for the green house further has the following characteristics: the artificial intelligence automatic updating information processing center is composed of a computer of an artificial intelligence algorithm.
Action and Effect of the invention
According to the intelligent energy-saving system for the green house, which is provided with the meteorological data acquisition part, the meteorological data including sunrise and sunset time, sky brightness and brightness of the residential district detected by the meteorological office can be acquired in real time, and the brightness in a plurality of residential areas can be detected in real time by the plurality of brightness detection parts, so that a plurality of brightness signals can be generated; due to the fact that the intelligent street lamp assembly is provided with the intelligent street lamp assemblies, the intelligent street lamp assembly can illuminate a plurality of residential areas respectively; the intelligent street lamp system comprises an artificial intelligence automatic updating information processing center which is respectively in communication connection with a meteorological data acquisition part, a brightness detection part and an intelligent street lamp component, can receive meteorological data and a brightness signal, generates a brightness control instruction through a set control instruction algorithm according to the meteorological data, the brightness signal and an initial control instruction, further sends the brightness control instruction to the intelligent street lamp component in a corresponding residential area so as to control the illumination brightness of the intelligent street lamp component, further realizes intelligent brightness control based on the meteorological data for each residential area, can adjust the illumination brightness of the residential area according to actual needs, reduces electric energy loss and creates a comfortable and green brightness environment for the residential area.
Owing to have power supply portion, be connected through the cable and people's intelligence street lamp subassembly electricity, can supply power to intelligent street lamp subassembly, this power supply portion has: a plurality of first photovoltaic solar panel, a plurality of second photovoltaic solar panel and a plurality of aerogenerator, first photovoltaic solar panel can be with solar energy transformation electric energy and thus to the power supply of intelligent street lamp subassembly, second photovoltaic solar panel can be with solar energy transformation electric energy and thus to the power supply of intelligent street lamp subassembly, aerogenerator can turn into the electric energy with wind energy and thus to the power supply of intelligent street lamp subassembly to with green clean energy conversion electric energy, green is favorable to sustainable development.
Because the special database is provided, once the artificial intelligent automatic updating information processing center generates a brightness control instruction, the artificial intelligent automatic updating information processing center sends the brightness control instruction as a historical brightness control instruction, a brightness signal when the historical brightness control instruction is sent as an initial brightness signal and a brightness signal after the historical brightness control instruction is sent for a preset time as an instruction implementation brightness signal to the special database, the special database receives the historical brightness control instruction, the initial brightness signal and the instruction implementation brightness signal and correspondingly stores the historical brightness control instruction, the initial brightness signal and the instruction implementation brightness signal, once the artificial intelligent automatic updating information processing center receives the brightness signal of each residential area, the artificial intelligent automatic updating information processing center takes the historical brightness control instruction corresponding to the brightness signal in the special database as a new initial control instruction, therefore, the artificial intelligent automatic updating information processing center can continuously perform self-updating learning and self-regulation, so that the intelligent regulation and control of the brightness are more accurate and rapid.
Drawings
FIG. 1 is a schematic diagram of a residential community structure in an embodiment of the invention;
FIG. 2 is a schematic diagram of a green house intelligent energy saving system in an embodiment of the invention;
FIG. 3 is a schematic diagram of a data fusion process in an embodiment of the invention;
FIG. 4 is a schematic structural diagram of an intelligent street light assembly according to an embodiment of the invention;
FIG. 5 is a schematic illustration of the transfer of electrical energy in an embodiment of the invention;
FIG. 6 is a schematic diagram of information delivery in an embodiment of the invention;
FIG. 7 is a model diagram of a BP neural network;
FIG. 8 is a flowchart of the steps of the BP algorithm; and
fig. 9 is an operation flowchart of the brightness control operation of the intelligent energy-saving system for green houses in the embodiment of the invention.
Detailed Description
In order to make the technical means, creation features, achievement purposes and effects of the invention easy to understand, the intelligent energy-saving system for the green house is specifically described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a residential cell configuration in an embodiment of the present invention.
As shown in fig. 1, the residential cell 200 of the present embodiment is a medium-sized residential cell that is divided into a plurality of residential areas 210 (the residential area 210 may be, for example, a cell culture center, a residential building dense area, etc.) according to lighting intensity and lighting time requirements, each residential area having a plurality of residential buildings 211.
Fig. 2 is a schematic structural diagram of an intelligent energy-saving system for green houses in the embodiment of the invention.
As shown in fig. 2, the intelligent energy saving system 100 for green house of the present embodiment is used for performing outdoor intelligent brightness control on a plurality of residential areas 210 of a residential community 200, and includes a weather data acquisition unit (not shown), a plurality of brightness detection units (not shown), a plurality of intelligent street lamp assemblies 10, a power supply unit 20, an artificial intelligence automatic update information processing center 30, and a dedicated database 40.
The weather data acquiring unit is in communication connection with the weather bureau 300, and is configured to acquire weather data including sunrise and sunset time, sky brightness, humidity, and brightness of the residential quarter 200 detected by the weather bureau 300 in real time, and transmit the weather data to the artificial intelligence automatic update information processing center 30.
The plurality of brightness detection parts are respectively and correspondingly arranged in the plurality of residential areas 210, and are used for detecting the brightness in the plurality of residential areas 210 in real time to generate a plurality of brightness signals, and sending the brightness signals corresponding to the residential areas 210 to the artificial intelligence automatic update information processing center 30. The brightness detection unit includes an infrared brightness monitoring camera provided on a lamp post 12 described later and a brightness sensor provided on the floor of the residential area 210.
FIG. 3 is a process diagram of data fusion in an embodiment of the invention.
As shown in fig. 3, in the case of humidity, brightness and brightness, most of these parameters are non-electrical quantities with different characteristics, they need to be converted into electrical signals first, and then into digital signals convenient for computer processing after a/D conversion. Because of the influence of environment or human factors, some interference signals and noise signals can be generated, the converted digital signals are subjected to data preprocessing so as to filter interference information in the acquisition process; and performing feature extraction and algorithm fusion on the processed useful signals to obtain an output result after data fusion of a plurality of sensors. The main advantage of this fusion method is that it can provide the subtle information that other fusion layers can not provide, and because there is no information loss, it has high fusion performance that it is generally applied to: multi-source image composition, image analysis and understanding, and synthesis of multiple viewing source data.
Fig. 4 is a schematic structural diagram of an intelligent street lamp assembly in an embodiment of the invention.
As shown in fig. 4, the intelligent street light modules 10 are installed in a plurality of residential areas, respectively, and illuminate a plurality of residential areas 210, respectively, and include a base 11, a lamp post 12, an energy-saving LED lamp group 13, and an artificial intelligence chip 14.
The base 11 is embedded in the floor of the residential area for fixed support.
The lamp post 12 is fixedly arranged on the base 11.
The energy-saving LED lamp set 13 is fixedly disposed on the lamp post 12 for illumination, and the energy-saving LED lamp set 13 has smaller power consumption.
The artificial intelligence chip 14 is fixedly disposed in the base 11 and is in communication connection with the artificial intelligence automatic update information processing center 30, and is configured to receive a brightness control instruction of the artificial intelligence automatic update information processing center 30, control the illumination brightness of the energy-saving LED lamp set 13 according to the brightness control instruction, and further feed back the illumination brightness of the energy-saving LED lamp set 13 to the artificial intelligence processing center 40.
Fig. 5 is a schematic diagram of power delivery in an embodiment of the invention.
As shown in fig. 5, the power supply unit 20 is electrically connected to the smart street light module and the household power of the residential building 211 through a cable 50, and supplies power to the smart street light module. The power supply unit 20 includes a plurality of first photovoltaic solar panels 21, a plurality of second photovoltaic solar panels 22, a plurality of wind power generators 23, and a power acquisition unit (not shown).
The plurality of first photovoltaic solar panels 21 are respectively disposed on the tops of the plurality of residential buildings 211, and are used for converting solar energy into electric energy to supply power to the intelligent street lamp assembly 10.
The plurality of second photovoltaic solar panels 22 are respectively disposed on the plurality of lamp posts 12, and are used for converting solar energy into electric energy to supply power to the intelligent street lamp assembly 10.
The wind-driven generators 23 are respectively arranged at the top ends of the lamp poles 12 and used for converting wind energy into electric energy to supply power to the intelligent street lamp assembly. The artificial intelligence chip 14 feeds back the illumination brightness of the energy-saving LED lamp set 13 to the artificial intelligence automatic update information processing center 30, and also feeds back the productivity conditions of the second photovoltaic solar panel 22 and the wind driven generator 23 on the corresponding lamp post 12 to the artificial intelligence automatic update information processing center 30.
The electric energy obtaining unit is electrically connected with the municipal power grid 400 and each intelligent street lamp component through a cable 50 respectively and is used for obtaining electric power from the municipal power grid 400 when the first photovoltaic solar panel 21, the second photovoltaic solar panel 22 and the wind driven generator 23 cannot obtain energy. Of course, when the energy obtained by the first photovoltaic solar panel 21, the second photovoltaic solar panel 22 and the wind power generator 23 is rich, the converted electric energy may be transmitted to the household electricity of each residential building. Therefore, the self-sufficiency of the electric energy is realized, and the electric energy can be used for household electricity when the electric energy is rich.
Fig. 6 is a schematic diagram of information transfer in an embodiment of the invention.
As shown in fig. 6, the artificial intelligence automatic update information processing center 30 is composed of a computer with artificial intelligence algorithm, is a central information processing part of the green house intelligent energy saving system 100 of the present embodiment, and may be a computer installed in a machine room of the residential community 200 or a computer remotely controllable at any other position. The artificial intelligence automatic update information processing center 30 is connected to the weather data acquisition unit, the brightness detection unit, the intelligent street lamp module 10, the power supply unit 20, and the dedicated database 40 through cables 50, respectively, so as to process data information from the weather data acquisition unit, the brightness detection unit, the intelligent street lamp module 10, and the power supply unit 20. When the intelligent street lamp is started for the first time, the artificial intelligence automatic update information processing center 30 receives the meteorological data of the meteorological data acquisition part and the brightness signal of the brightness detection part, generates a brightness control instruction according to the meteorological data, the brightness signal and the initial control instruction through a set control instruction algorithm, and further sends the brightness control instruction to the intelligent street lamp assemblies 10 in the corresponding residential areas 210 so as to control the illumination brightness of the intelligent street lamp assemblies 10, thereby realizing the intelligent brightness control based on the meteorological data of each residential area 210, avoiding overhigh or overlow brightness, and achieving the purposes of intelligent regulation and energy saving. In the figure, the sensor 1 … …, sensor n, respectively, indicates a weather data acquisition unit and a plurality of luminance detection units.
Wherein, the set control instruction algorithm is an error back propagation algorithm.
FIG. 7 is a BP neural network model diagram, and FIG. 8 is a flowchart of steps of the BP algorithm.
As shown in fig. 7 and 8, the information flow direction propagating forward in the algorithm is input layer → hidden layer → output layer, and the mathematical model is:
wherein, Wi and b are weight and bias parameters thereof, f (W, b; x) R → R is called an excitation function, in practical application, sigmoid, tanh, ReLU and other functions or variant forms thereof can be selected, and hW, b (x) are network output values.
The backward propagation direction is output layer → hidden layer, and its mathematical model is:
wherein e is a cost function and can be obtained by a least square method; y is a desired value; λ > 0 is a constant; lambda/2W2Is a penalty term.
The specific learning algorithm of the neural network adopts the supervised learning, also called supervised learning. During the learning training process, the network is continuously provided with an input pattern and a pattern which is expected to be output by the network correctly, i.e. expected output. When the actual output of the network is not in accordance with the expected output, the network weight is adjusted according to the direction and the magnitude of the error signals of the actual output and the expected output, so that the actual output of the network is closer to the expected output of the network.
The steps are summarized as follows:
① provide a training pattern pair x to the networkk-pkAnd initial weight
② calculating the actual output y of the networkk
③ calculating the error e between the actual output and the expected outputk＝yk-pk
④ the connection weight is changed according to the error, and the above steps are repeated for each training mode until the total error is less than the target error requirement.
Wherein x iskRepresenting the input value of the k-th term, pkDenotes the k-th item preset value, ykRepresenting the k-th item hidden layer output value.
In this embodiment, the error back-propagation algorithm includes the following steps:
step one, the weather data and brightness signal of each residential area 210 received by the artificial intelligence automatic update information processing center 30 are used as input values xiAnd sets the input value xiCorresponding weight Wi，
Step two, inputting the value xiAnd corresponding weight WiSubstituting the intermediate control command y into the following formula (1) to obtain an intermediate control command y,
step three, calculating the error e between the intermediate control command y and the initial control command P, which is shown in the following formula (2)
e＝y-p(2)
Step three, adjusting the weight W according to the error ei，
Step four, judging whether the error e is in a preset range, if not, entering the step two, if so, outputting the middle control instruction y as the brightness control instruction of the corresponding residential area,
wherein,for the excitation function, n is the total number of input values.
The artificial intelligence automatic update information processing center 30 generates a brightness control command, and then transmits the brightness control command as a history brightness control command, a brightness signal at the time of transmitting the history brightness control command as an initial brightness signal, and a brightness signal after transmitting the history brightness control command for a predetermined time as a command-implemented brightness signal to the dedicated database 40.
The dedicated database 40 may be a database integrated with the artificial intelligence automatic update information processing center 30, or may be a cloud capable of storing data. The dedicated database 40 is used for receiving and correspondingly storing the historical brightness control command, the initial brightness signal and the brightness signal after the command is implemented, which are sent by the artificial intelligent automatic updating information processing center 30. Once the artificial intelligence automatic update information processing center receives the brightness signal of each residential area, the artificial intelligence automatic update information processing center takes the historical brightness control instruction corresponding to the brightness signal in the special database as a new initial control instruction, so that the historical brightness control instruction is continuously corrected, and the artificial intelligence technology is utilized to continuously learn so that the artificial intelligence automatic update information processing center 30 is more and more clever, and further the illumination distribution of the whole residential community 200 is more and more accurately controlled.
Fig. 5 is an operation flow chart of the brightness control operation of the intelligent energy-saving system for green houses in the embodiment of the invention.
As shown in fig. 5, in the first embodiment, the operation flow S1 of the brightness control operation of the intelligent energy-saving system 100 for green house includes the following steps:
in step S1-1, the weather data obtaining unit obtains the weather data of the residential cell 200 detected by the weather bureau 300, transmits the weather data to the artificial intelligence automatic update information processing center 30, and proceeds to step S1-2.
In step S1-2, the plurality of luminance detecting units detect the luminance in the plurality of residential areas 210 in real time to generate a plurality of luminance signals, and transmit the luminance signals to the artificial intelligence automatic update information processing center 30, respectively, and the process proceeds to step S1-3.
In step S1-3, the artificial intelligence automatic update information processing center 30 receives the weather data and the brightness signals of the respective areas, and based on the weather data and the brightness signals, obtains the historical control command corresponding to the similar brightness signals of the corresponding residential area 210 in the dedicated database 40, and uses the historical control command as the current initial control command, and then proceeds to step S1-4.
Step S1-4, the artificial intelligence automatic update information processing center 30 generates a brightness control command according to the weather data, the brightness signal and the initial control command through a set control command algorithm, further sends the brightness control command to the corresponding intelligent street lamp assembly 10 in the residential area 210, and then proceeds to step S1-5.
In step S1-5, the artificial intelligence automatic update information processing center 30 sends the control command as the history control command, the luminance signal at the time of sending the history control command as the initial luminance signal, and the luminance signal after the sending of the history control command for a predetermined time as the command to the dedicated database 40, and then proceeds to step S1-6.
In step S1-6, the dedicated database 40 receives and stores the history control command, the initial luminance signal, and the luminance signal after the command is executed, and then enters the end state.
Examples effects and effects
According to the intelligent energy saving system for green houses of the embodiment, the weather data acquisition unit is provided, so that the weather data including sunrise and sunset time, sky brightness and brightness of the residential district detected by the weather bureau can be acquired in real time; due to the fact that the intelligent street lamp assembly is provided with the intelligent street lamp assemblies, the intelligent street lamp assembly can illuminate a plurality of residential areas respectively; the intelligent street lamp system comprises an artificial intelligence automatic updating information processing center which is respectively in communication connection with a meteorological data acquisition part, a brightness detection part and an intelligent street lamp component, can receive meteorological data and a brightness signal, generates a brightness control instruction through a set control instruction algorithm according to the meteorological data, the brightness signal and an initial control instruction, further sends the brightness control instruction to the intelligent street lamp component in a corresponding residential area so as to control the illumination brightness of the intelligent street lamp component, further realizes intelligent brightness control based on the meteorological data for each residential area, can adjust the illumination brightness of the residential area according to actual needs, reduces electric energy loss and creates a comfortable and green brightness environment for the residential area.
Owing to have power supply portion, be connected through the cable and people's intelligence street lamp subassembly electricity, can supply power to intelligent street lamp subassembly, this power supply portion has: a plurality of first photovoltaic solar panel, a plurality of second photovoltaic solar panel and a plurality of aerogenerator, first photovoltaic solar panel can be with solar energy transformation electric energy and thus to the power supply of intelligent street lamp subassembly, second photovoltaic solar panel can be with solar energy transformation electric energy and thus to the power supply of intelligent street lamp subassembly, aerogenerator can turn into the electric energy with wind energy and thus to the power supply of intelligent street lamp subassembly to with green clean energy conversion electric energy, green is favorable to sustainable development.
Because luminance detection portion is including setting up the infrared luminance monitoring camera on the lamp pole and setting up at the subaerial luminance sensor of residential area, infrared luminance monitoring camera is complementary with luminance sensor's mounted position to can carry out comprehensive luminance detection to the residential district, and then make this embodiment more accurate to the regulation and control of luminance.
Because the special database is provided, once the artificial intelligent automatic updating information processing center generates a brightness control instruction, the artificial intelligent automatic updating information processing center sends the brightness control instruction as a historical brightness control instruction, a brightness signal when the historical brightness control instruction is sent as an initial brightness signal and a brightness signal after the historical brightness control instruction is sent for a preset time as an instruction implementation brightness signal to the special database, the special database receives the historical brightness control instruction, the initial brightness signal and the instruction implementation brightness signal and correspondingly stores the historical brightness control instruction, the initial brightness signal and the instruction implementation brightness signal, once the artificial intelligent automatic updating information processing center receives the brightness signal of each residential area, the artificial intelligent automatic updating information processing center takes the historical brightness control instruction corresponding to the brightness signal in the special database as a new initial control instruction, therefore, the artificial intelligence automatic update information processing center of the embodiment can continuously perform self-update learning and self-adjustment, so that the intelligent regulation and control of the brightness are more accurate and rapid.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (7)
1. An intelligent energy-saving system for green houses, which is used for carrying out intelligent control on outdoor brightness of a plurality of residential areas containing a plurality of residential buildings in a residential community, and is characterized by comprising:
a meteorological data acquisition part for acquiring meteorological data including sunrise and sunset time, sky brightness and temperature of the residential community detected by a meteorological office in real time;
a plurality of luminance detection units, provided in correspondence with the plurality of residential areas, for detecting luminance in the plurality of residential areas in real time to generate a plurality of luminance signals;
the intelligent street lamp assemblies are respectively and correspondingly arranged in the residential areas and are used for respectively illuminating the residential areas; and
an artificial intelligence automatic update information processing center which is respectively connected with the meteorological data acquisition part, the brightness detection part and the intelligent street lamp component in a communication way,
wherein the meteorological data acquisition part sends the meteorological data to the artificial intelligence automatic update information processing center,
the plurality of brightness detection units respectively transmit the brightness signals corresponding to the respective housing areas to the artificial intelligence automatic update information processing center,
the artificial intelligence automatic updating information processing center receives the meteorological data and the brightness signal, generates a brightness control instruction according to the meteorological data, the brightness signal and the initial control instruction through a set control instruction algorithm, and further sends the brightness control instruction to the intelligent street lamp assembly in the corresponding residential area so as to control the illumination brightness of the intelligent street lamp assembly, and further achieves intelligent brightness control of each residential area based on the meteorological data.
2. The green house intelligent energy saving system according to claim 1, characterized in that:
wherein, intelligence street lamp subassembly contains:
a base embedded on a floor of the residential area,
a lamp post fixedly arranged on the base,
an energy-saving LED lamp set fixedly arranged on the lamp post and used for illumination, and
and the artificial intelligence chip is fixedly arranged in the base, is in communication connection with the artificial intelligence automatic updating information processing center, and is used for receiving the brightness control instruction of the artificial intelligence automatic updating information processing center and controlling the illumination brightness of the energy-saving LED lamp bank according to the brightness control instruction.
3. The green house intelligent energy saving system according to claim 2, further comprising:
a power supply part electrically connected with the intelligent street lamp component through a cable and used for supplying power to the intelligent street lamp component,
wherein the power supply portion has:
a plurality of first photovoltaic solar panels respectively arranged on the tops of the residential buildings for converting solar energy into electric energy to supply power to the intelligent street lamp components,
a plurality of second photovoltaic solar panels respectively arranged on the plurality of lamp posts and used for converting solar energy into electric energy so as to supply power to the intelligent street lamp component,
the plurality of wind driven generators are respectively arranged on the top ends of the plurality of lamp posts and used for converting wind energy into electric energy so as to supply power to the intelligent street lamp component,
and the electric power acquisition unit is electrically connected with the municipal power grid and each intelligent street lamp assembly through cables.
4. The green house intelligent energy saving system according to claim 2, characterized in that:
the brightness detection part comprises an infrared brightness monitoring camera arranged on the lamp post and a brightness sensor arranged on the ground of the residential area.
5. The green house intelligent energy saving system according to claim 1, characterized in that:
wherein, the set control instruction algorithm is an error back propagation algorithm, and the algorithm comprises the following steps:
step one, the meteorological data and the brightness signal of each residential area received by the artificial intelligence automatic updating information processing center are used as input values xiAnd sets the input value xiCorresponding weight wi，
Step two, inputting the value xiAnd the corresponding weight wiSubstituting the intermediate control command y into the following formula (1) to obtain an intermediate control command y,
step three, calculating the error e between the intermediate control command y and the initial control command P, which is shown in the following formula (2)
e＝y-p(2)
Thirdly, adjusting the weight w according to the error ei，
Step four, judging whether the error e is in a preset range, if not, entering the step two, if so, outputting the intermediate control instruction y as the brightness control instruction of the corresponding residential area,
the above-mentionedFor the excitation function, n is the total number of input values.
6. The green house intelligent energy saving system of claim 1, further comprising:
a dedicated database is provided for each of the plurality of databases,
wherein, once the artificial intelligence automatic update information processing center generates the brightness control instruction, the artificial intelligence automatic update information processing center sends the brightness control instruction as a historical brightness control instruction, the brightness signal when sending the historical brightness control instruction as an initial brightness signal, and the brightness signal after sending the historical brightness control instruction for a predetermined time as an instruction implementation brightness signal to the special database,
the special database receives the historical brightness control command, the initial brightness signal and the brightness signal after the command is implemented, and correspondingly stores the historical brightness control command, the initial brightness signal and the brightness signal after the command is implemented,
once the artificial intelligence automatic update information processing center receives the brightness signal of each residential area, the artificial intelligence automatic update information processing center takes the historical brightness control instruction corresponding to the brightness signal in the special database as a new initial control instruction, so that self-learning, self-adjustment and self-update of the artificial intelligence automatic update information processing center are realized.
7. The green house intelligent energy saving system according to claim 1, characterized in that:
the artificial intelligence automatic updating information processing center is composed of a computer of an artificial intelligence algorithm.
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